Lead Software Engineer - job 30 of 44

As a Lead Software Engineer at our company, your primary responsibilities will include overseeing the support of our 24/7 systems, collaborating with development and product teams, automating production support tasks, and optimizing the performance of our payment processing applications. You’ll also contribute to capacity planning and monitor application performance to identify and resolve bottlenecks.

The Lead Software Engineer role requires hands-on experience in Unix/Linux operating systems, strong knowledge of programming languages like Java and Python, familiarity with monitoring tools such as AppDynamics and Dynatrace, and experience in defining performance strategies. Additionally, the ability to work independently while also being an effective team player is essential.

For the Lead Software Engineer position, we prefer candidates with professional experience in highly scalable web services and exposure to containerized microservices architecture. Familiarity with Agile methodologies and disaster recovery processes are also advantageous. A Master's degree in Computer Science or Engineering is a plus.

Yes, the Lead Software Engineer role includes on-call responsibilities to manage and troubleshoot any production issues that may arise, ensuring the reliability and performance of our systems at all times.

This is a hybrid position, allowing you the flexibility to work from home or the office. The specific expectation of in-office days will be confirmed by your Hiring Manager, helping you achieve a work-life balance while maintaining productivity.

In an interview, you should highlight specific experiences you’ve had with Unix/Linux, such as system administration tasks, troubleshooting, and working with file systems and disk storage. Discuss projects where you utilized your knowledge effectively.

Explain your systematic approach to diagnosing performance issues, including monitoring application metrics, utilizing APM tools, and determining root causes. Provide examples of past situations where you successfully mitigated such issues.

Share insights into your experience with languages like Java and Python, mentioning any projects you’ve worked on that demonstrate your coding skills. Highlight any scripting work that has contributed to automation in your previous roles.

Discuss specific strategies you have implemented to optimize application performance, including load testing practices using tools like LoadRunner or JMeter and how you approached performance bottlenecks.

Provide examples of how you have contributed to disaster recovery exercises in previous positions. Discuss any specific methodologies you have followed and the importance of these practices.

Talk about your time management skills and how you prioritize workload based on urgency and importance. Share specific tools or methodologies you use to stay organized while under pressure.

Share examples of effective communication strategies you've used to foster collaboration with cross-functional teams. Highlight instances where collaboration led to improved outcomes.

Outline your experience with monitoring tools such as Splunk, Keynote, or Grafana, explaining their role in application performance monitoring, and how they can help preemptively identify issues.

Discuss your motivation for leadership, such as mentoring team members, driving projects to success, and fostering a motivated work environment. Share personal experiences that reflect your leadership style.

Convey your familiarity with containerization technologies such as Docker or Kubernetes, detailing projects where you have worked with microservices architecture and emphasizing the benefits it brings to scalability and development teams.